UVA Career Center

BA Applied Statistics and Biology, 2024

UVA Echols Scholar

AMPEL Intern May 2023-January 2024

PhD BME Harvard student, August 2024-present

Examination of the shared genetic architecture between multiple sclerosis and systemic lupus erythematosus facilitates discovery of novel lupus risk loci. 

Research Associate, June 2022-2023

MD-PhD Student, Mt. Sinai NYC 2023-present

Publications with AMPEL:

An interpretable machine learning pipeline based on transcriptomics predicts phenotypes of lupus patients

Testing the effectiveness of MyPROSLE in classifying patients with lupus nephritis

BME UVA Capstone with AMPEL, August 2021-May 2022

BS BME, May 2022

AMPEL Research Associate, May 2022-August 2024.

PhD BME UVA student, August 2024-present.

Examination of the shared genetic architecture between multiple sclerosis and systemic lupus erythematosus facilitates discovery of novel lupus risk loci. 

BS Biology and Mathematics, 2022

UVA Echols Scholar

AMPEL Research Associate, May 2022-August 2023

MS student in Data Science, Columbia Univ, August 2023-December 2024

BA Computer Science, 2020

AMPEL Research Associate, May 2020-August 2023

MS student in Data Science, Northwestern Univ, August 2023-present

Differential regulation of the interferon response in SLE distinguishes patients of Asian ancestry

BME UVA Capstone with AMPEL, August 2019-May2020

BS BME and Computer Science, 2020

AMPEL Research Associate, May 2020-August 2021

PhD student Genetics, Stanford Univ, August 2021-present

Mendelian randomization and pathway analysis demonstrate shared genetic associations between lupus and coronary artery disease

Bioinformatics and Machine Learning Scientist, June 2016-August 2021
PhD Health and Biomedical Data Science Student jointly with AMPEL and George Washington University, August 2021-present
Publications with AMPEL :
- Transcriptomics data: pointing the way to subclassification and personalized medicine in systemic lupus erythematosus 
- Analysis of gene expression from systemic lupus erythematosus synovium reveals myeloid cell-driven pathogenesis of lupus arthritis

- Analysis of transcriptomic features reveals molecular endotypes of SLE with clinical implications

UVA Immunology PhD
Data Scientist Pre-Clinical Models, January 2022-present
Bioinformatics & Machine Learning Post-Doc, January 2020-January 2022
Publications with AMPEL: 
- Comprehensive transcriptomic analysis of COVID-19 blood, lung, and airway
- Augmented glucose dependency of autoreactive B cells provides a treatment target for lupus

- Molecular mechanisms governing the progression of nephritis in lupus prone mice and human lupus patients

- Single-cell RNA sequencing analysis reveals the heterogeneity of IL-10 producing regulatory B cells in lupus-prone mice

Biomedical Engineering PhD 
Staff Scientist and Medical Affairs Liason, September 2020-present
Bioinformatics & Machine Learning Post-Doc, September 2018-September 2020
Publications with AMPEL: 
- Machine learning reveals distinct gene signature profiles in lesional and nonlesional regions of inflammatory skin diseases
- An introduction to machine learning and analysis of its use in rheumatic diseases

Staff Scientist and Medical Affairs Liason, AMPEL BioSolutions, June 2018-present.         
             UVA BA Biology 2010, MS Microbiology 2012, PhD Immunology 2016.
             AMPEL BioSolutions Systems Immunology Post-Doc June 2016-June 2018.

Publications with AMPEL:

Identification of alterations in macrophage polarization associated with disease activity in systemic lupus erythematosus
 
The pathogenesis of systemic lupus erythematosus: harnessing Big Data to understand the molecular basis of lupus
 
Analysis of Trans-Ancestral SLE Risk Loci Identifies Unique Biologic Networks and Drug Targets in African and European Ancestries

Medical Affairs Liaison and Clinical Trial Operations, 2017-present.

Publications with AMPEL:

Multi-Modality Imaging to Evaluate Lupus Nephritis

Patient-Reported Outcome Information Collected from Lupus Patients Using a Mobile Application: Compliance and Validation